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skia2/tests/Matrix44Test.cpp
Mike Reed 07d32b4d2d remove some memory-based methods, add rc() 
Change-Id: I44d6f67dcd3d042127ad20ebdaa332e94f1b0829
Reviewed-on: https://skia-review.googlesource.com/c/skia/+/266216
Commit-Queue: Mike Reed <reed@google.com>
Reviewed-by: Michael Ludwig <michaelludwig@google.com>
2020-01-23 16:52:06 +00:00

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/*
* Copyright 2011 Google Inc.
*
* Use of this source code is governed by a BSD-style license that can be
* found in the LICENSE file.
*/
#include "include/core/SkMatrix44.h"
#include "include/core/SkPoint3.h"
#include "include/private/SkM44.h"
#include "tests/Test.h"
static bool nearly_equal_double(double a, double b) {
const double tolerance = 1e-7;
double diff = a - b;
if (diff < 0)
diff = -diff;
return diff <= tolerance;
}
static bool nearly_equal_scalar(SkScalar a, SkScalar b) {
const SkScalar tolerance = SK_Scalar1 / 200000;
return SkScalarAbs(a - b) <= tolerance;
}
template <typename T> void assert16(skiatest::Reporter* reporter, const T data[],
T m0, T m1, T m2, T m3,
T m4, T m5, T m6, T m7,
T m8, T m9, T m10, T m11,
T m12, T m13, T m14, T m15) {
REPORTER_ASSERT(reporter, data[0] == m0);
REPORTER_ASSERT(reporter, data[1] == m1);
REPORTER_ASSERT(reporter, data[2] == m2);
REPORTER_ASSERT(reporter, data[3] == m3);
REPORTER_ASSERT(reporter, data[4] == m4);
REPORTER_ASSERT(reporter, data[5] == m5);
REPORTER_ASSERT(reporter, data[6] == m6);
REPORTER_ASSERT(reporter, data[7] == m7);
REPORTER_ASSERT(reporter, data[8] == m8);
REPORTER_ASSERT(reporter, data[9] == m9);
REPORTER_ASSERT(reporter, data[10] == m10);
REPORTER_ASSERT(reporter, data[11] == m11);
REPORTER_ASSERT(reporter, data[12] == m12);
REPORTER_ASSERT(reporter, data[13] == m13);
REPORTER_ASSERT(reporter, data[14] == m14);
REPORTER_ASSERT(reporter, data[15] == m15);
}
static bool nearly_equal(const SkMatrix44& a, const SkMatrix44& b) {
for (int i = 0; i < 4; ++i) {
for (int j = 0; j < 4; ++j) {
if (!SkScalarNearlyEqual(a.get(i, j), b.get(i, j))) {
SkDebugf("not equal %g %g\n", a.get(i, j), b.get(i, j));
return false;
}
}
}
return true;
}
static bool is_identity(const SkMatrix44& m) {
SkMatrix44 identity(SkMatrix44::kIdentity_Constructor);
return nearly_equal(m, identity);
}
///////////////////////////////////////////////////////////////////////////////
static bool bits_isonly(int value, int mask) {
return 0 == (value & ~mask);
}
static void test_constructor(skiatest::Reporter* reporter) {
// Allocate a matrix on the heap
SkMatrix44* placeholderMatrix = new SkMatrix44;
std::unique_ptr<SkMatrix44> deleteMe(placeholderMatrix);
for (int row = 0; row < 4; ++row) {
for (int col = 0; col < 4; ++col) {
placeholderMatrix->setDouble(row, col, row * col);
}
}
// Use placement-new syntax to trigger the constructor on top of the heap
// address we already initialized. This allows us to check that the
// constructor did avoid initializing the matrix contents.
SkMatrix44* testMatrix = new(placeholderMatrix) SkMatrix44(SkMatrix44::kUninitialized_Constructor);
REPORTER_ASSERT(reporter, testMatrix == placeholderMatrix);
REPORTER_ASSERT(reporter, !testMatrix->isIdentity());
for (int row = 0; row < 4; ++row) {
for (int col = 0; col < 4; ++col) {
REPORTER_ASSERT(reporter, nearly_equal_double(row * col, testMatrix->getDouble(row, col)));
}
}
// Verify that kIdentity_Constructor really does initialize to an identity matrix.
testMatrix = 0;
testMatrix = new(placeholderMatrix) SkMatrix44(SkMatrix44::kIdentity_Constructor);
REPORTER_ASSERT(reporter, testMatrix == placeholderMatrix);
REPORTER_ASSERT(reporter, testMatrix->isIdentity());
REPORTER_ASSERT(reporter, *testMatrix == SkMatrix44::I());
// Verify that that constructing from an SkMatrix initializes everything.
SkMatrix44 scaleMatrix;
scaleMatrix.setScale(3, 4, 5);
REPORTER_ASSERT(reporter, scaleMatrix.isScale());
testMatrix = new(&scaleMatrix) SkMatrix44(SkMatrix::I());
REPORTER_ASSERT(reporter, testMatrix->isIdentity());
REPORTER_ASSERT(reporter, *testMatrix == SkMatrix44::I());
}
static void test_translate(skiatest::Reporter* reporter) {
SkMatrix44 mat;
SkMatrix44 inverse;
mat.setTranslate(0, 0, 0);
REPORTER_ASSERT(reporter, bits_isonly(mat.getType(), SkMatrix44::kIdentity_Mask));
mat.setTranslate(1, 2, 3);
REPORTER_ASSERT(reporter, bits_isonly(mat.getType(), SkMatrix44::kTranslate_Mask));
REPORTER_ASSERT(reporter, mat.invert(&inverse));
REPORTER_ASSERT(reporter, bits_isonly(inverse.getType(), SkMatrix44::kTranslate_Mask));
SkMatrix44 a,b,c;
a.set3x3(1, 2, 3, 4, 5, 6, 7, 8, 9);
b.setTranslate(10, 11, 12);
c.setConcat(a, b);
mat = a;
mat.preTranslate(10, 11, 12);
REPORTER_ASSERT(reporter, mat == c);
c.setConcat(b, a);
mat = a;
mat.postTranslate(10, 11, 12);
REPORTER_ASSERT(reporter, mat == c);
}
static void test_scale(skiatest::Reporter* reporter) {
SkMatrix44 mat;
SkMatrix44 inverse;
mat.setScale(1, 1, 1);
REPORTER_ASSERT(reporter, bits_isonly(mat.getType(), SkMatrix44::kIdentity_Mask));
mat.setScale(1, 2, 3);
REPORTER_ASSERT(reporter, bits_isonly(mat.getType(), SkMatrix44::kScale_Mask));
REPORTER_ASSERT(reporter, mat.invert(&inverse));
REPORTER_ASSERT(reporter, bits_isonly(inverse.getType(), SkMatrix44::kScale_Mask));
SkMatrix44 a,b,c;
a.set3x3(1, 2, 3, 4, 5, 6, 7, 8, 9);
b.setScale(10, 11, 12);
c.setConcat(a, b);
mat = a;
mat.preScale(10, 11, 12);
REPORTER_ASSERT(reporter, mat == c);
c.setConcat(b, a);
mat = a;
mat.postScale(10, 11, 12);
REPORTER_ASSERT(reporter, mat == c);
}
static void make_i(SkMatrix44* mat) { mat->setIdentity(); }
static void make_t(SkMatrix44* mat) { mat->setTranslate(1, 2, 3); }
static void make_s(SkMatrix44* mat) { mat->setScale(1, 2, 3); }
static void make_st(SkMatrix44* mat) {
mat->setScale(1, 2, 3);
mat->postTranslate(1, 2, 3);
}
static void make_a(SkMatrix44* mat) {
mat->setRotateDegreesAbout(1, 2, 3, 45);
}
static void make_p(SkMatrix44* mat) {
SkScalar data[] = {
1, 2, 3, 4, 5, 6, 7, 8,
1, 2, 3, 4, 5, 6, 7, 8,
};
mat->setRowMajor(data);
}
typedef void (*Make44Proc)(SkMatrix44*);
static const Make44Proc gMakeProcs[] = {
make_i, make_t, make_s, make_st, make_a, make_p
};
static void test_map2(skiatest::Reporter* reporter, const SkMatrix44& mat) {
SkScalar src2[] = { 1, 2 };
SkScalar src4[] = { src2[0], src2[1], 0, 1 };
SkScalar dstA[4], dstB[4];
for (int i = 0; i < 4; ++i) {
dstA[i] = SkScalar(123456789);
dstB[i] = SkScalar(987654321);
}
mat.map2(src2, 1, dstA);
mat.mapScalars(src4, dstB);
for (int i = 0; i < 4; ++i) {
REPORTER_ASSERT(reporter, dstA[i] == dstB[i]);
}
}
static void test_map2(skiatest::Reporter* reporter) {
SkMatrix44 mat;
for (size_t i = 0; i < SK_ARRAY_COUNT(gMakeProcs); ++i) {
gMakeProcs[i](&mat);
test_map2(reporter, mat);
}
}
static void test_gettype(skiatest::Reporter* reporter) {
SkMatrix44 matrix(SkMatrix44::kIdentity_Constructor);
REPORTER_ASSERT(reporter, matrix.isIdentity());
REPORTER_ASSERT(reporter, SkMatrix44::kIdentity_Mask == matrix.getType());
int expectedMask;
matrix.set(1, 1, 0);
expectedMask = SkMatrix44::kScale_Mask;
REPORTER_ASSERT(reporter, matrix.getType() == expectedMask);
matrix.set(0, 3, 1); // translate-x
expectedMask |= SkMatrix44::kTranslate_Mask;
REPORTER_ASSERT(reporter, matrix.getType() == expectedMask);
matrix.set(2, 0, 1);
expectedMask |= SkMatrix44::kAffine_Mask;
REPORTER_ASSERT(reporter, matrix.getType() == expectedMask);
matrix.set(3, 2, 1);
REPORTER_ASSERT(reporter, matrix.getType() & SkMatrix44::kPerspective_Mask);
// ensure that negative zero is treated as zero
SkScalar dx = 0;
SkScalar dy = 0;
SkScalar dz = 0;
matrix.setTranslate(-dx, -dy, -dz);
REPORTER_ASSERT(reporter, matrix.isIdentity());
matrix.preTranslate(-dx, -dy, -dz);
REPORTER_ASSERT(reporter, matrix.isIdentity());
matrix.postTranslate(-dx, -dy, -dz);
REPORTER_ASSERT(reporter, matrix.isIdentity());
}
static void test_common_angles(skiatest::Reporter* reporter) {
SkMatrix44 rot;
// Test precision of rotation in common cases
int common_angles[] = { 0, 90, -90, 180, -180, 270, -270, 360, -360 };
for (int i = 0; i < 9; ++i) {
rot.setRotateDegreesAbout(0, 0, -1, SkIntToScalar(common_angles[i]));
SkMatrix rot3x3 = SkMatrix(rot);
REPORTER_ASSERT(reporter, rot3x3.rectStaysRect());
}
}
static void test_concat(skiatest::Reporter* reporter) {
int i;
SkMatrix44 a,b,c,d;
a.setTranslate(10, 10, 10);
b.setScale(2, 2, 2);
SkScalar src[8] = {
0, 0, 0, 1,
1, 1, 1, 1
};
SkScalar dst[8];
c.setConcat(a, b);
d = a;
d.preConcat(b);
REPORTER_ASSERT(reporter, d == c);
c.mapScalars(src, dst); c.mapScalars(src + 4, dst + 4);
for (i = 0; i < 3; ++i) {
REPORTER_ASSERT(reporter, 10 == dst[i]);
REPORTER_ASSERT(reporter, 12 == dst[i + 4]);
}
c.setConcat(b, a);
d = a;
d.postConcat(b);
REPORTER_ASSERT(reporter, d == c);
c.mapScalars(src, dst); c.mapScalars(src + 4, dst + 4);
for (i = 0; i < 3; ++i) {
REPORTER_ASSERT(reporter, 20 == dst[i]);
REPORTER_ASSERT(reporter, 22 == dst[i + 4]);
}
}
static void test_determinant(skiatest::Reporter* reporter) {
SkMatrix44 a(SkMatrix44::kIdentity_Constructor);
REPORTER_ASSERT(reporter, nearly_equal_double(1, a.determinant()));
a.set(1, 1, 2);
REPORTER_ASSERT(reporter, nearly_equal_double(2, a.determinant()));
SkMatrix44 b;
REPORTER_ASSERT(reporter, a.invert(&b));
REPORTER_ASSERT(reporter, nearly_equal_double(0.5, b.determinant()));
SkMatrix44 c = b = a;
c.set(0, 1, 4);
b.set(1, 0, 4);
REPORTER_ASSERT(reporter,
nearly_equal_double(a.determinant(),
b.determinant()));
SkMatrix44 d = a;
d.set(0, 0, 8);
REPORTER_ASSERT(reporter, nearly_equal_double(16, d.determinant()));
SkMatrix44 e = a;
e.postConcat(d);
REPORTER_ASSERT(reporter, nearly_equal_double(32, e.determinant()));
e.set(0, 0, 0);
REPORTER_ASSERT(reporter, nearly_equal_double(0, e.determinant()));
}
static void test_invert(skiatest::Reporter* reporter) {
SkMatrix44 inverse;
double inverseData[16];
SkMatrix44 identity(SkMatrix44::kIdentity_Constructor);
identity.invert(&inverse);
inverse.asRowMajord(inverseData);
assert16<double>(reporter, inverseData,
1, 0, 0, 0,
0, 1, 0, 0,
0, 0, 1, 0,
0, 0, 0, 1);
SkMatrix44 translation;
translation.setTranslate(2, 3, 4);
translation.invert(&inverse);
inverse.asRowMajord(inverseData);
assert16<double>(reporter, inverseData,
1, 0, 0, -2,
0, 1, 0, -3,
0, 0, 1, -4,
0, 0, 0, 1);
SkMatrix44 scale;
scale.setScale(2, 4, 8);
scale.invert(&inverse);
inverse.asRowMajord(inverseData);
assert16<double>(reporter, inverseData,
0.5, 0, 0, 0,
0, 0.25, 0, 0,
0, 0, 0.125, 0,
0, 0, 0, 1);
SkMatrix44 scaleTranslation;
scaleTranslation.setScale(32, 128, 1024);
scaleTranslation.preTranslate(2, 3, 4);
scaleTranslation.invert(&inverse);
inverse.asRowMajord(inverseData);
assert16<double>(reporter, inverseData,
0.03125, 0, 0, -2,
0, 0.0078125, 0, -3,
0, 0, 0.0009765625, -4,
0, 0, 0, 1);
SkMatrix44 rotation;
rotation.setRotateDegreesAbout(0, 0, 1, 90);
rotation.invert(&inverse);
SkMatrix44 expected;
double expectedInverseRotation[16] =
{0, 1, 0, 0,
-1, 0, 0, 0,
0, 0, 1, 0,
0, 0, 0, 1};
expected.setRowMajord(expectedInverseRotation);
REPORTER_ASSERT(reporter, nearly_equal(expected, inverse));
SkMatrix44 affine;
affine.setRotateDegreesAbout(0, 0, 1, 90);
affine.preScale(10, 20, 100);
affine.preTranslate(2, 3, 4);
affine.invert(&inverse);
double expectedInverseAffine[16] =
{0, 0.1, 0, -2,
-0.05, 0, 0, -3,
0, 0, 0.01, -4,
0, 0, 0, 1};
expected.setRowMajord(expectedInverseAffine);
REPORTER_ASSERT(reporter, nearly_equal(expected, inverse));
SkMatrix44 perspective(SkMatrix44::kIdentity_Constructor);
perspective.setDouble(3, 2, 1.0);
perspective.invert(&inverse);
double expectedInversePerspective[16] =
{1, 0, 0, 0,
0, 1, 0, 0,
0, 0, 1, 0,
0, 0, -1, 1};
expected.setRowMajord(expectedInversePerspective);
REPORTER_ASSERT(reporter, nearly_equal(expected, inverse));
SkMatrix44 affineAndPerspective(SkMatrix44::kIdentity_Constructor);
affineAndPerspective.setDouble(3, 2, 1.0);
affineAndPerspective.preScale(10, 20, 100);
affineAndPerspective.preTranslate(2, 3, 4);
affineAndPerspective.invert(&inverse);
double expectedInverseAffineAndPerspective[16] =
{0.1, 0, 2, -2,
0, 0.05, 3, -3,
0, 0, 4.01, -4,
0, 0, -1, 1};
expected.setRowMajord(expectedInverseAffineAndPerspective);
REPORTER_ASSERT(reporter, nearly_equal(expected, inverse));
SkMatrix44 tinyScale(SkMatrix44::kIdentity_Constructor);
tinyScale.setDouble(0, 0, 1e-39);
REPORTER_ASSERT(reporter, tinyScale.getType() == SkMatrix44::kScale_Mask);
REPORTER_ASSERT(reporter, !tinyScale.invert(nullptr));
REPORTER_ASSERT(reporter, !tinyScale.invert(&inverse));
SkMatrix44 tinyScaleTranslate(SkMatrix44::kIdentity_Constructor);
tinyScaleTranslate.setDouble(0, 0, 1e-38);
REPORTER_ASSERT(reporter, tinyScaleTranslate.invert(nullptr));
tinyScaleTranslate.setDouble(0, 3, 10);
REPORTER_ASSERT(
reporter, tinyScaleTranslate.getType() ==
(SkMatrix44::kScale_Mask | SkMatrix44::kTranslate_Mask));
REPORTER_ASSERT(reporter, !tinyScaleTranslate.invert(nullptr));
REPORTER_ASSERT(reporter, !tinyScaleTranslate.invert(&inverse));
SkMatrix44 tinyScalePerspective(SkMatrix44::kIdentity_Constructor);
tinyScalePerspective.setDouble(0, 0, 1e-39);
tinyScalePerspective.setDouble(3, 2, -1);
REPORTER_ASSERT(reporter, (tinyScalePerspective.getType() &
SkMatrix44::kPerspective_Mask) ==
SkMatrix44::kPerspective_Mask);
REPORTER_ASSERT(reporter, !tinyScalePerspective.invert(nullptr));
REPORTER_ASSERT(reporter, !tinyScalePerspective.invert(&inverse));
}
static void test_transpose(skiatest::Reporter* reporter) {
SkMatrix44 a,b;
int i = 0;
for (int row = 0; row < 4; ++row) {
for (int col = 0; col < 4; ++col) {
a.setDouble(row, col, i);
b.setDouble(col, row, i++);
}
}
a.transpose();
REPORTER_ASSERT(reporter, nearly_equal(a, b));
}
static void test_get_set_double(skiatest::Reporter* reporter) {
SkMatrix44 a;
for (int row = 0; row < 4; ++row) {
for (int col = 0; col < 4; ++col) {
a.setDouble(row, col, 3.141592653589793);
REPORTER_ASSERT(reporter,
nearly_equal_double(3.141592653589793,
a.getDouble(row, col)));
a.setDouble(row, col, 0);
REPORTER_ASSERT(reporter,
nearly_equal_double(0, a.getDouble(row, col)));
}
}
}
static void test_set_3x3(skiatest::Reporter* r) {
static float vals[9] = { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, };
SkMatrix44 mat;
mat.set3x3RowMajorf(vals);
REPORTER_ASSERT(r, 1.0f == mat.getFloat(0, 0));
REPORTER_ASSERT(r, 2.0f == mat.getFloat(0, 1));
REPORTER_ASSERT(r, 3.0f == mat.getFloat(0, 2));
REPORTER_ASSERT(r, 4.0f == mat.getFloat(1, 0));
REPORTER_ASSERT(r, 5.0f == mat.getFloat(1, 1));
REPORTER_ASSERT(r, 6.0f == mat.getFloat(1, 2));
REPORTER_ASSERT(r, 7.0f == mat.getFloat(2, 0));
REPORTER_ASSERT(r, 8.0f == mat.getFloat(2, 1));
REPORTER_ASSERT(r, 9.0f == mat.getFloat(2, 2));
}
static void test_set_row_col_major(skiatest::Reporter* reporter) {
SkMatrix44 a,b;
for (int row = 0; row < 4; ++row) {
for (int col = 0; col < 4; ++col) {
a.setDouble(row, col, row * 4 + col);
}
}
double bufferd[16];
float bufferf[16];
a.asColMajord(bufferd);
b.setColMajord(bufferd);
REPORTER_ASSERT(reporter, nearly_equal(a, b));
b.setRowMajord(bufferd);
b.transpose();
REPORTER_ASSERT(reporter, nearly_equal(a, b));
a.asColMajorf(bufferf);
b.setColMajorf(bufferf);
REPORTER_ASSERT(reporter, nearly_equal(a, b));
b.setRowMajorf(bufferf);
b.transpose();
REPORTER_ASSERT(reporter, nearly_equal(a, b));
}
static void test_3x3_conversion(skiatest::Reporter* reporter) {
SkScalar values4x4[16] = { 1, 2, 3, 4,
5, 6, 7, 8,
9, 10, 11, 12,
13, 14, 15, 16 };
SkScalar values3x3[9] = { 1, 2, 4,
5, 6, 8,
13, 14, 16 };
SkScalar values4x4flattened[16] = { 1, 2, 0, 4,
5, 6, 0, 8,
0, 0, 1, 0,
13, 14, 0, 16 };
SkMatrix44 a44;
a44.setRowMajor(values4x4);
SkMatrix a33 = SkMatrix(a44);
SkMatrix expected33;
for (int i = 0; i < 9; i++) expected33[i] = values3x3[i];
REPORTER_ASSERT(reporter, expected33 == a33);
SkMatrix44 a44flattened = a33;
SkMatrix44 expected44flattened;
expected44flattened.setRowMajor(values4x4flattened);
REPORTER_ASSERT(reporter, nearly_equal(a44flattened, expected44flattened));
// Test that a point with a Z value of 0 is transformed the same way.
SkScalar vec4[4] = { 2, 4, 0, 8 };
SkPoint3 vec3 = { 2, 4, 8 };
SkScalar vec4transformed[4];
SkPoint3 vec3transformed;
SkScalar vec4transformed2[4];
a44.mapScalars(vec4, vec4transformed);
a33.mapHomogeneousPoints(&vec3transformed, &vec3, 1);
a44flattened.mapScalars(vec4, vec4transformed2);
REPORTER_ASSERT(reporter, nearly_equal_scalar(vec4transformed[0], vec3transformed.fX));
REPORTER_ASSERT(reporter, nearly_equal_scalar(vec4transformed[1], vec3transformed.fY));
REPORTER_ASSERT(reporter, nearly_equal_scalar(vec4transformed[3], vec3transformed.fZ));
REPORTER_ASSERT(reporter, nearly_equal_scalar(vec4transformed[0], vec4transformed2[0]));
REPORTER_ASSERT(reporter, nearly_equal_scalar(vec4transformed[1], vec4transformed2[1]));
REPORTER_ASSERT(reporter, !nearly_equal_scalar(vec4transformed[2], vec4transformed2[2]));
REPORTER_ASSERT(reporter, nearly_equal_scalar(vec4transformed[3], vec4transformed2[3]));
}
static void test_has_perspective(skiatest::Reporter* reporter) {
SkMatrix44 transform(SkMatrix44::kIdentity_Constructor);
transform.setDouble(3, 2, -0.1);
REPORTER_ASSERT(reporter, transform.hasPerspective());
transform.reset();
REPORTER_ASSERT(reporter, !transform.hasPerspective());
transform.setDouble(3, 0, -1.0);
REPORTER_ASSERT(reporter, transform.hasPerspective());
transform.reset();
transform.setDouble(3, 1, -1.0);
REPORTER_ASSERT(reporter, transform.hasPerspective());
transform.reset();
transform.setDouble(3, 2, -0.3);
REPORTER_ASSERT(reporter, transform.hasPerspective());
transform.reset();
transform.setDouble(3, 3, 0.5);
REPORTER_ASSERT(reporter, transform.hasPerspective());
transform.reset();
transform.setDouble(3, 3, 0.0);
REPORTER_ASSERT(reporter, transform.hasPerspective());
}
static bool is_rectilinear (SkVector4& p1, SkVector4& p2, SkVector4& p3, SkVector4& p4) {
return (SkScalarNearlyEqual(p1.fData[0], p2.fData[0]) &&
SkScalarNearlyEqual(p2.fData[1], p3.fData[1]) &&
SkScalarNearlyEqual(p3.fData[0], p4.fData[0]) &&
SkScalarNearlyEqual(p4.fData[1], p1.fData[1])) ||
(SkScalarNearlyEqual(p1.fData[1], p2.fData[1]) &&
SkScalarNearlyEqual(p2.fData[0], p3.fData[0]) &&
SkScalarNearlyEqual(p3.fData[1], p4.fData[1]) &&
SkScalarNearlyEqual(p4.fData[0], p1.fData[0]));
}
static SkVector4 mul_with_persp_divide(const SkMatrix44& transform, const SkVector4& target) {
SkVector4 result = transform * target;
if (result.fData[3] != 0.0f && result.fData[3] != SK_Scalar1) {
float wInverse = SK_Scalar1 / result.fData[3];
result.set(result.fData[0] * wInverse,
result.fData[1] * wInverse,
result.fData[2] * wInverse,
SK_Scalar1);
}
return result;
}
static bool empirically_preserves_2d_axis_alignment(skiatest::Reporter* reporter,
const SkMatrix44& transform) {
SkVector4 p1(5.0f, 5.0f, 0.0f);
SkVector4 p2(10.0f, 5.0f, 0.0f);
SkVector4 p3(10.0f, 20.0f, 0.0f);
SkVector4 p4(5.0f, 20.0f, 0.0f);
REPORTER_ASSERT(reporter, is_rectilinear(p1, p2, p3, p4));
p1 = mul_with_persp_divide(transform, p1);
p2 = mul_with_persp_divide(transform, p2);
p3 = mul_with_persp_divide(transform, p3);
p4 = mul_with_persp_divide(transform, p4);
return is_rectilinear(p1, p2, p3, p4);
}
static void test(bool expected, skiatest::Reporter* reporter, const SkMatrix44& transform) {
if (expected) {
REPORTER_ASSERT(reporter, empirically_preserves_2d_axis_alignment(reporter, transform));
REPORTER_ASSERT(reporter, transform.preserves2dAxisAlignment());
} else {
REPORTER_ASSERT(reporter, !empirically_preserves_2d_axis_alignment(reporter, transform));
REPORTER_ASSERT(reporter, !transform.preserves2dAxisAlignment());
}
}
static void test_preserves_2d_axis_alignment(skiatest::Reporter* reporter) {
SkMatrix44 transform;
SkMatrix44 transform2;
static const struct TestCase {
SkScalar a; // row 1, column 1
SkScalar b; // row 1, column 2
SkScalar c; // row 2, column 1
SkScalar d; // row 2, column 2
bool expected;
} test_cases[] = {
{ 3.f, 0.f,
0.f, 4.f, true }, // basic case
{ 0.f, 4.f,
3.f, 0.f, true }, // rotate by 90
{ 0.f, 0.f,
0.f, 4.f, true }, // degenerate x
{ 3.f, 0.f,
0.f, 0.f, true }, // degenerate y
{ 0.f, 0.f,
3.f, 0.f, true }, // degenerate x + rotate by 90
{ 0.f, 4.f,
0.f, 0.f, true }, // degenerate y + rotate by 90
{ 3.f, 4.f,
0.f, 0.f, false },
{ 0.f, 0.f,
3.f, 4.f, false },
{ 0.f, 3.f,
0.f, 4.f, false },
{ 3.f, 0.f,
4.f, 0.f, false },
{ 3.f, 4.f,
5.f, 0.f, false },
{ 3.f, 4.f,
0.f, 5.f, false },
{ 3.f, 0.f,
4.f, 5.f, false },
{ 0.f, 3.f,
4.f, 5.f, false },
{ 2.f, 3.f,
4.f, 5.f, false },
};
for (size_t i = 0; i < sizeof(test_cases)/sizeof(TestCase); ++i) {
const TestCase& value = test_cases[i];
transform.setIdentity();
transform.set(0, 0, value.a);
transform.set(0, 1, value.b);
transform.set(1, 0, value.c);
transform.set(1, 1, value.d);
test(value.expected, reporter, transform);
}
// Try the same test cases again, but this time make sure that other matrix
// elements (except perspective) have entries, to test that they are ignored.
for (size_t i = 0; i < sizeof(test_cases)/sizeof(TestCase); ++i) {
const TestCase& value = test_cases[i];
transform.setIdentity();
transform.set(0, 0, value.a);
transform.set(0, 1, value.b);
transform.set(1, 0, value.c);
transform.set(1, 1, value.d);
transform.set(0, 2, 1.f);
transform.set(0, 3, 2.f);
transform.set(1, 2, 3.f);
transform.set(1, 3, 4.f);
transform.set(2, 0, 5.f);
transform.set(2, 1, 6.f);
transform.set(2, 2, 7.f);
transform.set(2, 3, 8.f);
test(value.expected, reporter, transform);
}
// Try the same test cases again, but this time add perspective which is
// always assumed to not-preserve axis alignment.
for (size_t i = 0; i < sizeof(test_cases)/sizeof(TestCase); ++i) {
const TestCase& value = test_cases[i];
transform.setIdentity();
transform.set(0, 0, value.a);
transform.set(0, 1, value.b);
transform.set(1, 0, value.c);
transform.set(1, 1, value.d);
transform.set(0, 2, 1.f);
transform.set(0, 3, 2.f);
transform.set(1, 2, 3.f);
transform.set(1, 3, 4.f);
transform.set(2, 0, 5.f);
transform.set(2, 1, 6.f);
transform.set(2, 2, 7.f);
transform.set(2, 3, 8.f);
transform.set(3, 0, 9.f);
transform.set(3, 1, 10.f);
transform.set(3, 2, 11.f);
transform.set(3, 3, 12.f);
test(false, reporter, transform);
}
// Try a few more practical situations to check precision
// Reuse TestCase (a, b, c, d) as (x, y, z, degrees) axis to rotate about.
TestCase rotation_tests[] = {
{ 0.0, 0.0, 1.0, 90.0, true },
{ 0.0, 0.0, 1.0, 180.0, true },
{ 0.0, 0.0, 1.0, 270.0, true },
{ 0.0, 1.0, 0.0, 90.0, true },
{ 1.0, 0.0, 0.0, 90.0, true },
{ 0.0, 0.0, 1.0, 45.0, false },
// In 3d these next two are non-preserving, but we're testing in 2d after
// orthographic projection, where they are.
{ 0.0, 1.0, 0.0, 45.0, true },
{ 1.0, 0.0, 0.0, 45.0, true },
};
for (size_t i = 0; i < sizeof(rotation_tests)/sizeof(TestCase); ++i) {
const TestCase& value = rotation_tests[i];
transform.setRotateDegreesAbout(value.a, value.b, value.c, value.d);
test(value.expected, reporter, transform);
}
static const struct DoubleRotationCase {
SkScalar x1;
SkScalar y1;
SkScalar z1;
SkScalar degrees1;
SkScalar x2;
SkScalar y2;
SkScalar z2;
SkScalar degrees2;
bool expected;
} double_rotation_tests[] = {
{ 0.0, 0.0, 1.0, 90.0, 0.0, 1.0, 0.0, 90.0, true },
{ 0.0, 0.0, 1.0, 90.0, 1.0, 0.0, 0.0, 90.0, true },
{ 0.0, 1.0, 0.0, 90.0, 0.0, 0.0, 1.0, 90.0, true },
};
for (size_t i = 0; i < sizeof(double_rotation_tests)/sizeof(DoubleRotationCase); ++i) {
const DoubleRotationCase& value = double_rotation_tests[i];
transform.setRotateDegreesAbout(value.x1, value.y1, value.z1, value.degrees1);
transform2.setRotateDegreesAbout(value.x2, value.y2, value.z2, value.degrees2);
transform.postConcat(transform2);
test(value.expected, reporter, transform);
}
// Perspective cases.
transform.setIdentity();
transform.setDouble(3, 2, -0.1); // Perspective depth 10
transform2.setRotateDegreesAbout(0.0, 1.0, 0.0, 45.0);
transform.preConcat(transform2);
test(false, reporter, transform);
transform.setIdentity();
transform.setDouble(3, 2, -0.1); // Perspective depth 10
transform2.setRotateDegreesAbout(0.0, 0.0, 1.0, 90.0);
transform.preConcat(transform2);
test(true, reporter, transform);
}
// just want to exercise the various converters for Scalar
static void test_toint(skiatest::Reporter* reporter) {
SkMatrix44 mat;
mat.setScale(3, 3, 3);
SkScalar sum = SkScalarFloorToScalar(mat.get(0, 0)) +
SkScalarRoundToScalar(mat.get(1, 0)) +
SkScalarCeilToScalar(mat.get(2, 0));
int isum = SkScalarFloorToInt(mat.get(0, 1)) +
SkScalarRoundToInt(mat.get(1, 2)) +
SkScalarCeilToInt(mat.get(2, 3));
REPORTER_ASSERT(reporter, sum >= 0);
REPORTER_ASSERT(reporter, isum >= 0);
REPORTER_ASSERT(reporter, static_cast<SkScalar>(isum) == SkIntToScalar(isum));
}
DEF_TEST(Matrix44, reporter) {
SkMatrix44 mat;
SkMatrix44 inverse;
SkMatrix44 iden1;
SkMatrix44 iden2;
SkMatrix44 rot;
mat.setTranslate(1, 1, 1);
mat.invert(&inverse);
iden1.setConcat(mat, inverse);
REPORTER_ASSERT(reporter, is_identity(iden1));
mat.setScale(2, 2, 2);
mat.invert(&inverse);
iden1.setConcat(mat, inverse);
REPORTER_ASSERT(reporter, is_identity(iden1));
mat.setScale(SK_Scalar1/2, SK_Scalar1/2, SK_Scalar1/2);
mat.invert(&inverse);
iden1.setConcat(mat, inverse);
REPORTER_ASSERT(reporter, is_identity(iden1));
mat.setScale(3, 3, 3);
rot.setRotateDegreesAbout(0, 0, -1, 90);
mat.postConcat(rot);
REPORTER_ASSERT(reporter, mat.invert(nullptr));
mat.invert(&inverse);
iden1.setConcat(mat, inverse);
REPORTER_ASSERT(reporter, is_identity(iden1));
iden2.setConcat(inverse, mat);
REPORTER_ASSERT(reporter, is_identity(iden2));
// test tiny-valued matrix inverse
mat.reset();
auto v = 1.0e-12f;
mat.setScale(v,v,v);
rot.setRotateDegreesAbout(0, 0, -1, 90);
mat.postConcat(rot);
mat.postTranslate(v,v,v);
REPORTER_ASSERT(reporter, mat.invert(nullptr));
mat.invert(&inverse);
iden1.setConcat(mat, inverse);
REPORTER_ASSERT(reporter, is_identity(iden1));
// test mixed-valued matrix inverse
mat.reset();
mat.setScale(1.0e-2f, 3.0f, 1.0e+2f);
rot.setRotateDegreesAbout(0, 0, -1, 90);
mat.postConcat(rot);
mat.postTranslate(1.0e+2f, 3.0f, 1.0e-2f);
REPORTER_ASSERT(reporter, mat.invert(nullptr));
mat.invert(&inverse);
iden1.setConcat(mat, inverse);
REPORTER_ASSERT(reporter, is_identity(iden1));
// test degenerate matrix
mat.reset();
mat.set3x3(1.0, 1.0, 0.0, 1.0, 0.0, 0.0, 0.0, 1.0, 0.0);
REPORTER_ASSERT(reporter, !mat.invert(nullptr));
// test rol/col Major getters
{
mat.setTranslate(2, 3, 4);
float dataf[16];
double datad[16];
mat.asColMajorf(dataf);
assert16<float>(reporter, dataf,
1, 0, 0, 0,
0, 1, 0, 0,
0, 0, 1, 0,
2, 3, 4, 1);
mat.asColMajord(datad);
assert16<double>(reporter, datad, 1, 0, 0, 0,
0, 1, 0, 0,
0, 0, 1, 0,
2, 3, 4, 1);
mat.asRowMajorf(dataf);
assert16<float>(reporter, dataf, 1, 0, 0, 2,
0, 1, 0, 3,
0, 0, 1, 4,
0, 0, 0, 1);
mat.asRowMajord(datad);
assert16<double>(reporter, datad, 1, 0, 0, 2,
0, 1, 0, 3,
0, 0, 1, 4,
0, 0, 0, 1);
}
test_concat(reporter);
if (false) { // avoid bit rot, suppress warning (working on making this pass)
test_common_angles(reporter);
}
test_constructor(reporter);
test_gettype(reporter);
test_determinant(reporter);
test_invert(reporter);
test_transpose(reporter);
test_get_set_double(reporter);
test_set_row_col_major(reporter);
test_set_3x3(reporter);
test_translate(reporter);
test_scale(reporter);
test_map2(reporter);
test_3x3_conversion(reporter);
test_has_perspective(reporter);
test_preserves_2d_axis_alignment(reporter);
test_toint(reporter);
}
static bool eq(const SkMatrix44& a, const SkM44& b, float tol) {
float fa[16], fb[16];
a.asColMajorf(fa);
b.getColMajor(fb);
for (int i = 0; i < 16; ++i) {
if (!SkScalarNearlyEqual(fa[i], fb[i], tol)) {
return false;
}
}
return true;
}
static bool eq(const SkM44& a, const SkM44& b, float tol) {
float fa[16], fb[16];
a.getColMajor(fa);
b.getColMajor(fb);
for (int i = 0; i < 16; ++i) {
if (!SkScalarNearlyEqual(fa[i], fb[i], tol)) {
return false;
}
}
return true;
}
DEF_TEST(M44, reporter) {
SkM44 m, im;
SkMatrix44 m44, im44;
REPORTER_ASSERT(reporter, eq(m44, m, 0));
REPORTER_ASSERT(reporter, SkM44() == m);
REPORTER_ASSERT(reporter, m.invert(&im));
REPORTER_ASSERT(reporter, SkM44() == im);
m.setTranslate(3, 4, 2);
m44.setTranslate(3, 4, 2);
REPORTER_ASSERT(reporter, eq(m44, m, 0));
REPORTER_ASSERT(reporter, SkM44(1, 0, 0, 3,
0, 1, 0, 4,
0, 0, 1, 2,
0, 0, 0, 1) == m);
const float f[] = { 1, 0, 0, 2, 3, 1, 2, 5, 0, 5, 3, 0, 0, 1, 0, 2 };
m.setColMajor(f);
m44.setColMajorf(f);
REPORTER_ASSERT(reporter, eq(m44, m, 0));
{
SkM44 t = m.transpose();
REPORTER_ASSERT(reporter, t != m);
REPORTER_ASSERT(reporter, t.rc(1,0) == m.rc(0,1));
SkM44 tt = t.transpose();
REPORTER_ASSERT(reporter, tt == m);
}
m.setRowMajor(f);
m44.setRowMajorf(f);
REPORTER_ASSERT(reporter, eq(m44, m, 0));
REPORTER_ASSERT(reporter, m.invert(&im));
REPORTER_ASSERT(reporter, m44.invert(&im44));
REPORTER_ASSERT(reporter, eq(im44, im, 0));
m = m * im;
// m should be identity now, but our calc is not perfect...
REPORTER_ASSERT(reporter, eq(SkM44(), m, 0.0000005f));
REPORTER_ASSERT(reporter, SkM44() != m);
}
DEF_TEST(M44_v3, reporter) {
SkV3 a = {1, 2, 3},
b = {1, 2, 2};
REPORTER_ASSERT(reporter, a.lengthSquared() == 1 + 4 + 9);
REPORTER_ASSERT(reporter, b.length() == 3);
REPORTER_ASSERT(reporter, a.dot(b) == 1 + 4 + 6);
REPORTER_ASSERT(reporter, b.dot(a) == 1 + 4 + 6);
REPORTER_ASSERT(reporter, (a.cross(b) == SkV3{-2, 1, 0}));
REPORTER_ASSERT(reporter, (b.cross(a) == SkV3{ 2, -1, 0}));
SkM44 m = {
2, 0, 0, 3,
0, 1, 0, 5,
0, 0, 3, 1,
0, 0, 0, 1
};
SkV3 c = m * a;
REPORTER_ASSERT(reporter, (c == SkV3{2, 2, 9}));
SkV4 d = m.map(4, 3, 2, 1);
REPORTER_ASSERT(reporter, (d == SkV4{11, 8, 7, 1}));
}
DEF_TEST(M44_v4, reporter) {
SkM44 m( 1, 2, 3, 4,
5, 6, 7, 8,
9, 10, 11, 12,
13, 14, 15, 16);
SkV4 r0 = m.row(0),
r1 = m.row(1),
r2 = m.row(2),
r3 = m.row(3);
REPORTER_ASSERT(reporter, (r0 == SkV4{ 1, 2, 3, 4}));
REPORTER_ASSERT(reporter, (r1 == SkV4{ 5, 6, 7, 8}));
REPORTER_ASSERT(reporter, (r2 == SkV4{ 9, 10, 11, 12}));
REPORTER_ASSERT(reporter, (r3 == SkV4{13, 14, 15, 16}));
REPORTER_ASSERT(reporter, SkM44::Rows(r0, r1, r2, r3) == m);
SkV4 c0 = m.col(0),
c1 = m.col(1),
c2 = m.col(2),
c3 = m.col(3);
REPORTER_ASSERT(reporter, (c0 == SkV4{1, 5, 9, 13}));
REPORTER_ASSERT(reporter, (c1 == SkV4{2, 6, 10, 14}));
REPORTER_ASSERT(reporter, (c2 == SkV4{3, 7, 11, 15}));
REPORTER_ASSERT(reporter, (c3 == SkV4{4, 8, 12, 16}));
REPORTER_ASSERT(reporter, SkM44::Cols(c0, c1, c2, c3) == m);
// implement matrix * vector using column vectors
SkV4 v = {1, 2, 3, 4};
SkV4 v1 = m * v;
SkV4 v2 = c0 * v.x + c1 * v.y + c2 * v.z + c3 * v.w;
REPORTER_ASSERT(reporter, v1 == v2);
REPORTER_ASSERT(reporter, (c0 + r0 == SkV4{c0.x+r0.x, c0.y+r0.y, c0.z+r0.z, c0.w+r0.w}));
REPORTER_ASSERT(reporter, (c0 - r0 == SkV4{c0.x-r0.x, c0.y-r0.y, c0.z-r0.z, c0.w-r0.w}));
REPORTER_ASSERT(reporter, (c0 * r0 == SkV4{c0.x*r0.x, c0.y*r0.y, c0.z*r0.z, c0.w*r0.w}));
}
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